SCNet: Training Inference Sample Consistency for Instance Segmentation.
Thang VuHaeyong KangChang D. YooPublished in: CoRR (2020)
Keyphrases
- image segmentation
- segmentation algorithm
- structured prediction
- image parsing
- level set
- shape prior
- multiscale
- segmentation method
- neural network
- inference process
- test set
- bayesian networks
- consistency checking
- edge detection
- supervised learning
- training samples
- discriminative classifiers
- training examples
- energy function
- sample size
- medical images
- region growing
- segmentation errors
- probabilistic inference
- training algorithm
- shape model
- segmentation accuracy
- grey level
- segmented images
- training phase
- training process
- image analysis
- medical imaging
- online learning
- training set
- image registration
- ground truth